Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122424137B008962E0EDB51DDE7D8F699A69ED245F330858265F4813FAB80DED64303AD |
|
CONTENT
ssdeep
|
192:72daMS5pTxln8XVe2ftdr4H4RXHjxpHgHvBHONfypTEJspGyYZvCfMmUU8VCo9:OaMAnWV9ftdrI4hjxVAvdONfypTEJspE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6e929159cdc632 |
|
VISUAL
aHash
|
c181818181ffffff |
|
VISUAL
dHash
|
332f2f2333363336 |
|
VISUAL
wHash
|
8181818181e7ffff |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
332f2f2333363336,c01878783b830204,daeffffdfbfbfffb |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.